Interface ActiveLearningConfigOrBuilder (3.36.0)

public interface ActiveLearningConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getHumanLabelingBudgetCase()

public abstract ActiveLearningConfig.HumanLabelingBudgetCase getHumanLabelingBudgetCase()
Returns
TypeDescription
ActiveLearningConfig.HumanLabelingBudgetCase

getMaxDataItemCount()

public abstract long getMaxDataItemCount()

Max number of human labeled DataItems.

int64 max_data_item_count = 1;

Returns
TypeDescription
long

The maxDataItemCount.

getMaxDataItemPercentage()

public abstract int getMaxDataItemPercentage()

Max percent of total DataItems for human labeling.

int32 max_data_item_percentage = 2;

Returns
TypeDescription
int

The maxDataItemPercentage.

getSampleConfig()

public abstract SampleConfig getSampleConfig()

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;

Returns
TypeDescription
SampleConfig

The sampleConfig.

getSampleConfigOrBuilder()

public abstract SampleConfigOrBuilder getSampleConfigOrBuilder()

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;

Returns
TypeDescription
SampleConfigOrBuilder

getTrainingConfig()

public abstract TrainingConfig getTrainingConfig()

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;

Returns
TypeDescription
TrainingConfig

The trainingConfig.

getTrainingConfigOrBuilder()

public abstract TrainingConfigOrBuilder getTrainingConfigOrBuilder()

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;

Returns
TypeDescription
TrainingConfigOrBuilder

hasMaxDataItemCount()

public abstract boolean hasMaxDataItemCount()

Max number of human labeled DataItems.

int64 max_data_item_count = 1;

Returns
TypeDescription
boolean

Whether the maxDataItemCount field is set.

hasMaxDataItemPercentage()

public abstract boolean hasMaxDataItemPercentage()

Max percent of total DataItems for human labeling.

int32 max_data_item_percentage = 2;

Returns
TypeDescription
boolean

Whether the maxDataItemPercentage field is set.

hasSampleConfig()

public abstract boolean hasSampleConfig()

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

.google.cloud.aiplatform.v1.SampleConfig sample_config = 3;

Returns
TypeDescription
boolean

Whether the sampleConfig field is set.

hasTrainingConfig()

public abstract boolean hasTrainingConfig()

CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.

.google.cloud.aiplatform.v1.TrainingConfig training_config = 4;

Returns
TypeDescription
boolean

Whether the trainingConfig field is set.